Man pages for summata
Publication-Ready Summary Tables and Forest Plots
| add_header_padding | Add padding to exported table headers |
| add_pvalue_column | Add _p_-value column to result table |
| add_raw_stats | Add raw statistics to row |
| add_variable_padding | Add padding to exported table variables |
| apply_decimal_mark | Apply locale decimal mark to a sprintf-formatted string |
| apply_zebra_stripes_ft | Apply zebra stripes with proper variable group detection for... |
| autoforest | Create Forest Plot with Automatic Model Detection |
| autotable | Export Table with Automatic Format Detection |
| bold_pvalues_ft | Bold significant _p_-values in DOCX |
| build_failed_model_row | Build row for failed model |
| build_model_row | Build comparison row for successfully fitted model |
| calculate_coxme_scores | Calculate scores for mixed-effects Cox models |
| calculate_forest_layout | Calculate table layout for forest plots |
| calculate_glmer_scores | Calculate scores for generalized linear mixed-effects models |
| calculate_lmer_scores | Calculate scores for linear mixed-effects models |
| calculate_model_scores | Calculate Composite Mean Scores (CMS) for model comparison |
| calculate_multiforest_layout | Calculate table layout for multiforest plots |
| calculate_table_width | Calculate table width based on paper size and orientation |
| calculate_uniforest_layout | Calculate table layout for uniforest plots |
| check_convergence | Check model convergence |
| check_latex | Check LaTeX installation |
| check_required_packages | Check required packages for model type |
| clintrial | Simulated Clinical Trial Dataset |
| clintrial_labels | Variable Labels for Clinical Trial Dataset |
| combine_coefficient_tables | Combine coefficient tables from multiple models |
| combine_multifit_results | Combine multivariate results |
| compfit | Compare Multiple Regression Models |
| condense_quantitative_rows | Condense quantitative variable rows only |
| condense_table_rows | Condense table rows for more compact display |
| convert_units | Convert between units |
| coxforest | Create Forest Plot for Cox Proportional Hazards Models |
| desctable | Create Publication-Ready Descriptive Statistics Tables |
| detect_model_type | Detect if model is univariable or multivariable |
| detect_model_type_auto | Auto-detect model type based on outcome and random effects |
| detect_outcome_type | Detect outcome type from data |
| detect_plot_font | Detect available sans-serif font for plots |
| determine_alignment | Determine alignment for exported tables |
| determine_effect_type | Determine Effect Type Label |
| extract_coxme_metrics | Extract metrics for mixed-effects Cox models (coxme) |
| extract_glmer_metrics | Extract metrics for generalized linear mixed-effects models... |
| extract_lmer_metrics | Extract metrics for linear mixed-effects models (lmer) |
| extract_model_metrics | Extract comprehensive model metrics based on academic... |
| extract_predictor_effects | Extract predictor effects from a fitted model |
| finalize_column_names | Finalize Column Names for Display |
| find_non_reference_row | Find non-reference row for binary variable condensing |
| fit | Fit Regression Model with Publication-Ready Output |
| fix_negative_zero | Fix negative zero in formatted strings |
| forest_ci_separator | Determine CI separator for forest plot text annotations |
| format_categorical_stat | Format a categorical statistic for display |
| format_column_headers | Apply formatting to column headers in exported tables... |
| format_column_headers_html | Apply formatting to column headers in exported tables (HTML) |
| format_column_headers_with_n_html | Format column headers with n counts (HTML) |
| format_column_headers_with_n_tex | Format column headers with n counts (TeX) |
| format_continuous_stat | Format continuous statistic for display |
| format_count | Format an integer count with locale-aware thousands separator |
| format_count_forest | Format an integer for forest plot annotations |
| format_fullfit_combined | Format combined fullfit output from formatted tables |
| format_headers_ft | Format headers for flextable |
| format_indented_groups | Apply formatting to indented groups |
| format_interaction_term | Format interaction term for display |
| format_model_comparison | Format model comparison table |
| format_model_table | Format model results for publication-ready display |
| format_multifit_table | Format multifit results for publication |
| format_num | Format a numeric value with locale-aware separators |
| format_number | Format numeric value with fixed decimal places |
| format_p_forest | Format a p-value for forest plot annotations |
| format_pvalue | Format a _p_-value with locale-aware decimal mark |
| format_pvalues_desctable | Format _p_-values for descriptive tables |
| format_pvalues_export_html | Format _p_-values for exported tables (HTML) |
| format_pvalues_export_tex | Format _p_-values for exported tables |
| format_pvalues_fit | Format _p_-values for display |
| format_pvalues_multifit | Format p-values for multifit display |
| format_pvalue_survtable | Format _p_-value for survtable |
| format_quantile_cells | Vectorized quantile cell formatting |
| format_survival_cells | Vectorized survival cell formatting |
| format_survival_ci | Format survival median with CI for display |
| fullfit | Complete Regression Analysis Workflow |
| get_cached_confint | Retrieve confidence intervals with cache support |
| get_event_variable | Extract event variable from survival model |
| get_model_data | Get data from model object (works with S3 and S4) |
| get_model_type_name | Get readable model type name |
| get_model_xlevels | Get factor levels from model (works with S3 and S4) |
| get_paper_settings | Get paper size for PDF/LaTeX export |
| get_stat_label | Get display label for statistic type |
| glmforest | Create Forest Plot for Generalized Linear Models |
| identify_variable_groups | Identify variable groups before indentation |
| is_affirmative_category | Check if category name should be suppressed in condensed... |
| is_multifit_result | Check if object is a multifit result |
| is_reference_category | Check if category name is a standard reference/negative value |
| is_surv_outcome | Check if outcome is a Surv() expression |
| is_uniscreen_result | Check if object is a uniscreen result |
| lmforest | Create Forest Plot for Linear Models |
| m2dt | Convert Model to Data Table |
| multifit | Multivariate Regression Analysis |
| multiforest | Create Forest Plot for Multivariate Regression |
| normalize_model_type | Normalize model type names |
| number_format | Number Formatting Utilities |
| order_comparison_columns | Order comparison columns based on model type |
| parse_term | Parse term into variable and group |
| perform_categorical_test | Perform statistical tests for categorical variables |
| perform_continuous_test | Perform statistical tests for continuous variables |
| perform_survival_test | Perform survival comparison test |
| print.compfit_result | Print method showing scoring methodology |
| print.fit_result | Print method for fit results |
| print.fullfit_result | Print method for fullfit results |
| print.multifit_result | Print method for multifit results |
| print.survtable | Print method for survtable |
| print.table2docx_result | Print method for table2docx results |
| print.table2pptx_result | Print method for table2pptx results |
| print.table2rtf_result | Print method for table2rtf results |
| print.uniscreen_result | Print method for uniscreen results |
| process_categorical | Process categorical variable |
| process_continuous | Process continuous variable |
| process_single_outcome | Process a single survival outcome |
| process_survival | Process survival variable |
| process_survival_probs | Process survival probability quantiles (optimized) |
| process_survival_times | Process survival at specified time points (optimized) |
| process_table_for_flextable | Core flextable processing function |
| process_variable | Process variable wrapper |
| quiet_fit | Fit a model with selective warning suppression |
| reorder_total_column | Reorder columns to position total column |
| replace_empty_cells | Replace empty cells with "-" |
| resolve_number_marks | Resolve number format marks |
| resolve_separator | Resolve the CI or range separator |
| safe_round | Safe rounding that handles 'NULL' and NA |
| sanitize_for_latex | Sanitize certain symbols for LaTeX |
| should_condense_binary | Check if a binary variable should be condensed without... |
| summata-imports | Package Imports |
| survtable | Create Publication-Ready Survival Summary Tables |
| table2docx | Export Table to Microsoft Word Format (DOCX) |
| table2html | Export Table to HTML Format |
| table2pdf | Export Table to PDF Format |
| table2pptx | Export Table to Microsoft PowerPoint Format (PPTX) |
| table2rtf | Export Table to Rich Text Format (RTF) |
| table2tex | Export Table to LaTeX Format |
| uniforest | Create Forest Plot for Univariable Screening |
| uniscreen | Univariable Screening for Multiple Predictors |
| validate_fit_inputs | Complete input validation for fit functions |
| validate_model_outcome | Validate model type matches outcome specification |
| validate_number_format | Validate number_format parameter |
| validate_outcome_exists | Validate outcome exists in data |
| validate_outcome_homogeneity | Validate outcome homogeneity for multifit |
| validate_predictors_exist | Validate predictors exist in data |
